Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4343838090&distance=25&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&refresh=true&sortBy=R&start=150 Job Description: Burtch Works Share Show more options Sr Backend Eng  United States · 18 hours ago · 100 people clicked apply Promoted by hirer · Responses managed off LinkedIn $170K/yr - $210K/yr Remote Matches your job preferences, workplace type is Remote. Full-time Apply Save Save Sr Backend Eng  at Burtch Works Sr Backend Eng Burtch Works · United States (Remote) Apply Save Save Sr Backend Eng  at Burtch Works Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 About the job Job Title: Senior Backend Engineer (Data/AI) Location: Primarily Remote (Optional hybrid in NYC or Chicago) About The Company We are a boutique, special-situation advisory firm providing independent fiduciary and stewardship services to companies experiencing significant growth pains, complex organizational change, or existential crisis. Our scope of work includes serving as Board Members, Interim C-Suite Management, Chief Restructuring Officer, and other operationally focused roles, where AI-driven tools and analytics play a pivotal role in optimizing turnarounds and mitigating risks. Our team combines decades of professional experience across a multitude of sectors and situations, advising businesses during periods of distress and transition. Job Summary We are looking for a Senior Backend Engineer (Data/AI) to join our newly formed Data & AI team. The ideal candidate will be a hands-on technical leader with strong client-facing skills and a proven track record of deploying AI/ML solutions to production. This role will involve leading client projects from discovery through deployment, building reusable technical assets, and helping shape our team culture as we scale. As an early team member, you'll work closely with the Team Lead to build the function from the ground up and scale our client project delivery across three strategic pillars: People (internal transformation), Projects (client solution delivery), and Product (SaaS development). Key Responsibilities Client Project Delivery (70%): Lead client projects from discovery through production deployment, owning the full technical lifecycle. Interface directly with clients to understand business challenges and translate them into technical solutions. Design and build production-ready data science and AI solutions using Python, modern ML frameworks, and agentic AI (Pydantic AI). Travel to client sites (up to 40%) for onboarding, discovery workshops, and strategic engagements. Ensure solutions deliver measurable business value and meet success criteria established during discovery. Collaboration with Consultants: Work directly with our consultants to bring technology that automates and optimizes their processes, and collaborate to deliver exceptional client outcomes across high-impact projects including SKU rationalization, inventory optimization for retail and CPG clients, and price optimization for entertainment industry leaders. Product Development & Technical Assets (20%): Abstract reusable components and patterns from client work into our SaaS product platform. Build and maintain scalable, modular codebases that can be deployed across multiple clients. Develop data pipelines, ML models, and AI agents that become core product features. Establish technical standards, best practices, and documentation for the growing team. Contribute to architecture decisions and technical strategy for the Data & AI business unit. Team Development & Collaboration (10%): Work closely with the Data Team Lead in a highly collaborative, remote-first environment. Eventually mentor and manage junior engineers as the team scales. Participate in technical decision-making and help shape the team's culture and processes. Contribute to internal knowledge sharing and technical documentation. Requirements Education: Bachelor's degree in Computer Science, Statistics, Economics, Data Science, or related field Experience: 5+ years of professional experience with Python in production environments, with a proven track record of deploying AI/ML models to production and solving real business problems Skills: Strong proficiency with the PyData stack (pandas/polars, scikit-learn, matplotlib); solid SQL skills for data querying and manipulation; experience with agentic AI frameworks (Pydantic AI preferred, or similar); proficiency with Jupyter or Marimo notebooks for exploratory analysis and prototyping; strong GitHub skills and collaborative development practices Other: Client-facing experience is non-negotiable – you must be comfortable presenting to and advising clients. Practical, hands-on experience (not just academic or theoretical background). Willingness to travel up to 40%. Preferred Qualifications Consulting or professional services background Startup experience (ideally a mix of both consulting and startup environments) Frontend or full-stack development skills for added versatility Experience with dbt for data transformation workflows Familiarity with cloud platforms (AWS, Azure, GCP) Experience in retail, CPG, or entertainment/events industries Knowledge of additional ML frameworks (LangChain, TensorFlow, PyTorch) Benefits Competitive Salary: $170,000-$210,000 (based on location + experience) + bonus Work-Life Balance: Remote-first role with optional hybrid arrangement in NYC or Chicago, offering significant autonomy and flexibility Professional Development: Opportunity to shape technical direction and team culture as an early team member, with eventual mentorship and management responsibilities as the team scales Additional Perks: Direct client interaction on high-impact projects across diverse industries, significant autonomy in technical decision-making, travel opportunities for client engagement